Vaccine Design, Adaptation, and Cloning Design For Multiple Epitope-Based Vaccine Derived From Sars-Cov-2 Surface Glycoprotein (S), Membrane Protein (M) and Envelope Protein (E): in Silico Approach

Introduction: the sars coronavirus 2 (sarscov2) pandemic has become a global epidemic that has increased the scientific community's concern about developing and finding a counteraction against this lethal virus. so far, hundreds of thousands of people have been infected by the pandemic due to contamination and spread. this research was therefore carried out to develop potential epitope-based vaccines against the sarscov2 virus using reverse vaccinology and immunoinformatics approaches.material and methods: the material of sarscov2 surface glycoprotein (s), membrane protein (m), and envelope protein (e) were downloaded from the ncbi protein database. each protein has undergone epitopes prediction for mhc class i epitopes, mhc class ii epitopes, and antibody of bcell epitopes. selected epitopes according to their antigenicity score was tested for allergenicity and toxicity. finally, filtered epitopes were used in vaccine construction. vaccines were constructed, docked against tolllike receptor 3, and undergone molecular dynamic simulation. the vaccine with the best scores, subjected to immune stimulation and cloning design.results: three vaccines were constructed, covac1, covac2, and covac3. each vaccine was submitted into a deep investigation. the molecular dynamic simulation determines the stability and physical movement of protein atoms and molecules. after molecular dynamics simulation, covac1 was having the best scores. covac1 was then subjected to immune simulation analysis to insure the stimulation of innate and adaptive immunity. after passing the immune simulation, covac1 was integrated into e.coli pet30b plasmid using in silico cloning design.conclusion: viral pandemics are threatened to face humanity today. the best scenario to fight against any pandemic is utilizing the full power of computational biology, especially immuneinformatics, to design and discover in silico new vaccines or molecules that may stimulate the immune system against the invader pathogens or inhibit the pathogen life cycle.